Solutions for Healthcare

Better Data for Better Patient Care and Increased Revenue

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How Melissa Helps Healthcare

For over 30 years, Melissa has worked hand-in-hand with leaders in the healthcare industry. We are HIPAA/HITECH and SOC 2 compliant, and our breadth of data ensures your patient records are always clean and accurate. Work with us to:

The Quality of Patient Data
Impacts Everything

From medical predictions, diagnoses, treatments, and emergency response, accurate data quality is critical for patient care, onboarding, security, and operational efficiency. Melissa’s full spectrum of data quality solutions address these concerns and more.

PATIENT ONBOARDING

Improve admittance and care by aiding the patient in providing accurate personal details and health histories.

POPULATION ANALYSIS

Enhance community outreach and public health with plotted coordinates to inform health resource allocation and improve record keeping.


BIG DATA ANALYTICS

Connect patient data points with clinical findings and research to discover actionable meaning, and aid in governance protocols.




CLEAN & CONSISTENT DATABASE

Clean, standardize and reformat any data type – from casing to capitalization, adding or removing punctuation, expanding or contracting abbreviations, or searching and replacing any parts of a string.

IMPROVE HEALTH INITIATIVES

Add precise demographic data to your records like age, sex, race, and income to help ensure better resource allocation, patient care, and public policy.



RECORDS HYGIENE

Match, merge and purge duplicate patient records across households, facilities, and time to minimize patient frustration, billing and claim errors, and legal liabilities.



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Minimized labor costs

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Fully-automated
contact data cleansing

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Now catches
errors in real time

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Easily integrated into
existing .NET and SQL processes

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Used GeoCoder to
find nearby physicians in network

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  • Chris Lloyd
    Director of Database Services

    "GeoCoder allows us to maintain multiple addresses for the same physician even when we are receiving and loading the data from more than one source. We use the mileage distance between addresses to write proprietary business rules to locate physicians that practice in multiple locations, and even across state borders."

Case Study: CalOptima

Find out how CalOptima, the second largest health insurer in Orange County, migrated 422,000 members, 5,800 physicians, and 24 hospitals into one data warehouse with the help of Melissa’s Data Quality Components for SSIS.


View CalOptima Case Study
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Easy implementation
with SSIS

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Used GeoCoder to find
nearby physicians in network

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Better knowledge
of member locations

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Reduced returned
mail costs

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  • Osvaldo Cruz
    Data Warehouse Architect

    "Our main objective was to add value to the data produced for business users. Having conformed and integrated data is valuable, but the added value of recognizing valid addresses is significant. One of the cost-driven indicators is returned mail and missing communication with members."